AI consulting that does not stop at the concept.
We work out what is worth doing, then set it up.
Most AI projects do not fail at the idea. They fail behind the concept. What lands on the table is a document describing what would be possible, and the implementation is a second project: more time, more budget, someone with capacity again. People looking for AI consulting are rarely looking for a document. They are looking for someone who says what to do and then does it.
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AI consulting comes in many sizes, from the large firm to the specialist agency. If you want to train your own model, or you fall into a high-risk area of the AI Act, that is exactly the right path, and we will say so if your case belongs there. A company with thirty people, on the other hand, rarely needs an AI strategy. It needs one less process that eats time: the phone ringing in the middle of the work, the inbox still open in the evening, the same question for the third time. For that, the question is not which technology is possible, but which process is worth doing first and what knowledge the agent needs for it.
rinqo advises and implements, in one piece. We look at where time is lost, decide together which process comes first, gather the necessary knowledge into the company memory and set up the agent until it handles the cases cleanly. What we hand over is not a concept but a running system and a team that can work with it. The price is agreed beforehand.
Contents
Why rinqo?
Consulting and implementation in one hand
Whoever decides which process comes first also builds it. There is no handover between concept and implementation where half of what was understood gets left behind.
A fixed price instead of a day rate
The price is agreed in advance and attached to the outcome, not to the hours. If something takes longer than expected, that is our problem, not your supplementary invoice.
Something is running at the end
What you get is an agent handling real cases. Not a recommendation on how one might be built, and not a pilot that does not survive its first week.
One process at a time
The first agent goes live before we talk about the second. What does not hold shows in weeks rather than after a year, and the business keeps running throughout.
The knowledge stays with you
What we work in sits in your company memory and belongs to you. It stays there long after we are out of the project.
Data protection is part of the setup
Processing in the EU, a data processing agreement, the disclosure duty under the AI Act: set up, not filed afterwards. The binding assessment of your specific use remains a matter for your legal advisers.
Before. After.
The usual route separates thinking from building: first analysis and concept, then a second project for the implementation, often with different people. Billing follows effort. For a company where something genuinely new is being created, that is the right way.
With us it is one process. We work out what is worth doing first, gather the knowledge and set the agent up. At the end there is no document but something that works, at the price agreed beforehand.
Which consulting you need, and when
The honest answer depends on what you are after. If you want to train your own model on your data, if you work in a high-risk area under Annex III of the AI Act, in medical diagnostics say, or in selection decisions in recruiting, or if AI is to become a core part of your product, then you need specialist consulting with exactly that experience. We will tell you so in the first conversation rather than selling you something that does not fit. If it is about processes that look similar in many companies, about calls, enquiries, the inbox, recurring questions from the team, then the work is not in the technology but in the knowledge: what the agent has to know, which cases it may decide itself, where it hands over to a person. That is where we come in, and we bring the platform with us.
What actually costs time in an AI project
Not the model. The knowledge. Prices, processes, exceptions, the tone with customers, all of it sits in heads, old emails and scattered folders. Before an agent can handle even one call sensibly, that knowledge has to come together in one place. In classic projects this happens in workshops whose result is a document, and out of the document software has to be built laboriously later. At rinqo the gathering runs straight into the company memory the agent works from. What you tell us in conversation is therefore not material for a concept, it is already the content of the system. And it stays: when experienced people leave, their knowledge does not go with them.
How a project runs with us
It starts with a conversation in which we look at where time is lost and decide together which process comes first. Then we gather the knowledge the agent needs for it, from what is already there: website, price lists, process descriptions, the questions you answer every day. Then we set the agent up, listen to it, correct it until it handles the cases cleanly, and hand it over to your team ready to work. Only once that is running do we talk about the next process. The price for this is agreed in advance, so you know where you stand before it starts.
Frequently asked questions
Founder, rinqo
Founder of rinqo. Builds a company memory where an organisation's knowledge comes together and stays available, and the AI agents that work from it: on the phone, in the inbox, in chat, in marketing and in further roles. Writes here about bringing AI into companies, about data protection, and about what holds up in daily operation. Developed in Germany, processed in the EU, no US providers.
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